IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
Featured Guides
Data Science Roadmap 2026: A Complete Step-by-Step Guide
A data science roadmap in dependency order, from Python and SQL through cleaning, statistics and honest model evaluation to communicating results, with an exit test at every stage and one dataset that carries through the whole path.
What Is Generative AI? A Complete Beginner's Guide
What generative AI is, in plain language: how language models produce text one token at a time (shown with a tiny runnable model), how chat models are trained, how image models differ, what the technology is reliable for, and why it confabulates.
Learn Python from Scratch: A Complete 2026 Roadmap
How to learn Python from zero: install a current version (including the new Windows install manager), then work through seven stages, from values and loops to files, virtual environments, classes and tests, each ending with a small program you should be able to write on your own.
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Data Science Projects for Freshers: 12 Ideas with Datasets
Twelve data science project ideas for freshers, each paired with a real public dataset and framed as a question worth answering: campaign response, customer segments, demand, fairness, text classification, big data and more, with the skills each proves and a stretch goal that makes it stand out.
LangChain Tutorial: Build Your First LLM App
This LangChain tutorial builds a small meeting-notes assistant in four steps, using a free local model: a chat model, a prompt chain, structured output validated by Pydantic, and an agent with one tool. Everything ran, and the output also shows the mistakes a small model makes and how to catch them.
Python Projects for Beginners: 15 Ideas to Build
Fifteen beginner Python projects ordered as a ladder, where each one adds exactly one new idea, from a bill splitter to a habit tracker with tests. Every project has a 'done when' check and a stretch goal, and the starter code shown was run.
Power BI Projects to Build for Your Portfolio
Five Power BI portfolio projects, each proving a different skill (a star schema with time intelligence, performance on millions of rows, Power Query reshaping, row-level security and a report for a real user), with datasets you are allowed to publish and what a reviewer will check.
Dashboard Design Principles for Data Analysts
Dashboard design principles for data analysts: designing for one audience and a few questions, fitting on one screen, giving every number context, choosing charts that encode values accurately, arranging content in reading order, and using colour sparingly and accessibly, with a script that checks palette contrast.
Data Lake vs Data Warehouse vs Lakehouse
A clear comparison of data lakes, data warehouses and lakehouses: what each stores and when structure is applied, strengths and failure modes such as the data swamp, what a lakehouse adds through table formats and governance, a side-by-side table, and practical guidance on choosing or combining them.